Seismic Interval Attribute Calibration for Rock Property Uncertainty
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Solution Overview
Problem
Current methods for quantitative seismic reservoir characterization are time-consuming and inefficient in providing accurate rock property estimates from seismic data, lacking rapid calibration and uncertainty assessment capabilities.
Innovation Solution
A method involving calibration of a linear rock physics model, generation of pseudo-well models using a Monte Carlo approach, computation of seismic attributes, correlation with rock properties, and transformation of seismic data into low-side, most-likely, and high-side estimates of rock properties, enabling rapid and accurate rock property assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional quantitative seismic reservoir characterization methods are used, then accurate rock property estimates can be obtained, but the process is time-consuming and inefficient
Solution Approach 1:
The patent applies preliminary action by pre-calibrating the linear rock physics model to well log properties before actual seismic processing. This pre-calibration establishes prediction functions that can be rapidly applied to seismic data without requiring time-consuming iterative calibration during the actual reservoir characterization process, thus maintaining accuracy while reducing processing time
Solution Approach 2:
The patent uses Monte Carlo simulation to generate multiple pseudo-well models that replicate the statistical properties of actual well data. These synthetic copies allow for rapid uncertainty assessment and calibration validation without requiring extensive field measurements, thereby reducing time loss while maintaining estimation accuracy through statistical rigor
2Productivity
If rapid calibration methods are implemented, then processing time is reduced, but uncertainty assessment capability may be compromised
Solution Approach 1:
The patent implements feedback by using the Monte Carlo generated pseudo-well models to validate and refine the rock physics model calibration. The synthetic seismic traces and attributes derived from these models provide feedback on the calibration quality, allowing rapid iteration and validation that maintains uncertainty assessment reliability while keeping processing time short through efficient computational loops
Solution Approach 2:
The patent replaces traditional mechanical/physical calibration methods with computational Monte Carlo simulation and statistical analysis. This substitution allows for rapid generation of numerous calibration scenarios and uncertainty assessments through computer-based statistical mechanics rather than time-consuming physical measurements and iterative field calibration, maintaining reliability through mathematical rigor while dramatically improving productivity
Data Source
AI summary
A method, including: calibrating a linear rock physics model to well log properties; generating a plurality of pseudo-well models for a subsurface region using a Monte Carlo approach; generating synthetic seismic traces from each of the plurality of pseudo-well models; computing top and base isochron from the synthetic seismic traces; computing seismic attributes in an interval specified by the top and base isochron on the synthetic seismic traces; correlating the seismic attributes to rock properties; and transforming seismic data into low-side, most-likely, and high-side estimates of rock properties.